摘要
通过对厦门港口之一的国际货柜码头月吞吐量数据进行预测分析证明了用GM(1,1)和ARMA时序组合模型共同描述吞吐量变化的优越性,并对预测值与实际值作了比较,说明该模型具有较高的预测精度和应用价值。
Based on Cramerdecomposition theorem,this paperanalyzed and forecasted one of the Xiamen International Port Container Terminal Throughput month sequence,which proved the superiority of the model of GM（1,1） and ARMA time series combination.Meanwhile,the comparison between the predictive value and the actual value indicated that the model has higher prediction accuracy and value.
出处
《三明学院学报》
2010年第4期323-325,共3页
Journal of Sanming University
